Fusion Analysis of a Palmprint-Hand Geometry Multimodal Ultrasound Recognition System
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25706-3_25
Reference19 articles.
1. Jaswal, G., Kaul, A., Nath, R.: Multimodal biometric authentication system using hand shape, palm print, and hand geometry. In: Verma, N., Ghosh, A. (eds.) Computational Intelligence: Theories, Applications and Future Directions - Volume II. Advances in Intelligent Systems and Computing, vol. 799. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-1135-2_42
2. Oldal, L.G., Kovacs, A.: Hand geometry and palmprint-based authentication using image processing. In: Proceedings of the IEEE 18th International Symposium on Intelligent Systems and Informatics (SISY) (2020)
3. Dai, J., Zhou, J.: Multifeature-based high-resolution palmprint recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33, 945–957 (2011)
4. Iula, A.: Ultrasound systems for biometric recognition. Sensors 19(10) (2019)
5. Jiang, X., et al.: Ultrasonic fingerprint sensor with transmit beamforming based on a PMUT array bonded to CMOS circuitry. IEEE Trans. UFFC 64, 1401–1408 (2017)
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1. SYEnet: Simple yet effective network for palmprint recognition;Information Sciences;2024-05
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